extracting the channels from the corrected image

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LAXMI PRIYANKA 2020-4-12

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评论： LAXMI PRIYANKA 2020-4-15

iam working with rgb fundus images

my task is to convert the rgb image to hsv space and extract the channels and

perform brightness correction in the image

now i am little confused on how to extract the channels of the corrected image

the corrected image is not saved as jpg format

could anyone help me to solve this issue

i have also attached the coding

thank you in advance

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Ameer Hamza 2020-4-12

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You converted the image to RGB after applying correction. You can extract the RGB channels by indexing along third dimension

R = newRGBImage(:,:,1);
G = newRGBImage(:,:,2);
B = newRGBImage(:,:,3);

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Ameer Hamza 2020-4-15

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The code works fine on R2020a using this image, but there is any error when making the final figures. There is a mistake in typing the name of variables. There is no variable name image in your code, but these lines are trying to call imshow on it.

figure('name','LCM-CLAHE','NumberTitle','off')
%da=adapthisteq(data);
%%%% <------ There is no variable named image in your code
imshow([image uint8(output)]);          % Concatenate original and CLAHE image
figure('name','Histogram of input image','NumberTitle','off'); imhist(image);               %Show the histogram of original image, LCM output and CLAHE output
figure('name','Histogram of LCM output','NumberTitle','off');imhist(data);
figure('name','Histogram of CLAHE output','NumberTitle','off');imhist(uint8(output));
PSNR = psnr(uint8(output), image);
fprintf('\n The Peak-SNR value of LCM-CLAHE is %0.4f', PSNR);
normal = adapthisteq(image,'clipLimit',0.02,'Distribution','rayleigh');
%imshow([image normal]);
PSNR0 = psnr(normal,image);
fprintf('\n The Peak-SNR value of CLAHE is %0.4f', PSNR0);
he = histeq(image);
PSNR2 = psnr(he,image);
fprintf('\n The Peak-SNR value of HE is %0.4f', PSNR2);

LAXMI PRIYANKA 2020-4-15

thank you sir

LAXMI PRIYANKA 2020-4-15

sir now i tried with adaphist function for applying clahe

[f_name p_name]=uigetfile('*','select the image');

input_img=imresize(imread(strcat(p_name,f_name)),[512,512]);

imshow(input_img),title('Input Image');

[xRes,yRes]=size(input_img);

Min=0;

Max=255;

NrX=2;

NrY=2;

NrBins=256;

Cliplimit=0.01;

% I = imread('tire.tif');

J = adapthisteq(im2uint8(input_img),'clipLimit',0.02,'Distribution','rayleigh');

imshowpair(im2uint8(input_img),J,'montage');

title('Original Image (left) and Contrast Enhanced Image (right)')

the abve codings after execution displays the following error

Error using adapthisteq

Expected input number 1, I, to be two-dimensional.

Error in adapthisteq>parseInputs (line 416)

validateattributes(I, {'uint8', 'uint16', 'double', 'int16', 'single'}, ...

Error in adapthisteq (line 154)

[I, selectedRange, fullRange, numTiles, dimTile, clipLimit, numBins, ...

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